文献类型：期刊文献

英文题名：Dynamic pricing and replenishment policy for fresh produce

作者：Fan, Tijun[1,2];Xu, Chang[1,2];Tao, Feng[1]

机构：[1]East China Univ Sci & Technol, Sch Business, Shanghai 200237, Peoples R China;[2]East China Univ Sci & Technol, Res Ctr Operat & Supply Chain Management, Shanghai 200237, Peoples R China

年份：2020

卷号：139

外文期刊名：COMPUTERS & INDUSTRIAL ENGINEERING

收录：;EI(收录号：20194407613077);WOS:【SSCI(收录号:WOS:000509784000006)，SCI-EXPANDED(收录号:WOS:000509784000006)】；

基金：This work was supported in part by the National Natural Science Foundation of China under Project 71431004, Project 71872064, Project 71972071, in part by the Shanghai Pujiang Program under Project 18PJC025.

语种：英文

外文关键词：Fresh produce; Dynamic pricing; Replenishment policy; Heuristic method

摘要：In this paper, to examine the operation strategies of fresh produce retailers, we present a dynamic programming model of revenue management that include consumer choice behavior. First, a dynamic pricing strategy for multi-batch fresh produce that matches real-time freshness is developed by solving the dynamic programming model. Second, a replenishment policy is developed that considers both the freshness and inventory of the previous batch of fresh produce. Finally, four heuristic replenishment policies are proposed to simplify the replenishment operations. The results show that when the inventory of the remaining fresh produce is lower than a certain threshold, the order quantity depends on the freshness and the inventory of the remaining fresh produce; when the inventory exceeds this threshold, the order quantity is related only to the freshness. Most importantly, the order point and the order quantity decrease with the initial freshness. Moreover, the three of four heuristic methods we proposed can achieve more than 95% profit of the optimal strategy.